항만배후도시성장에 영향을 미치는 요인에 관한 실증연구

Abstract

Previous port studies show that private terminal operators would own facilities in competing ports within an east asian regional system, that policy environments in such a system can have spatial (de)concentration effects beyond market forces alone, and that government policies stimulating spatial alignment result in an atypical spatial jumping pattern by private players (Wang, 1998; Wang and Slack, 2000). The development of the major port-city interface can be regarded as an evolving relationship between a port and its urban surrounding (Daamen 2007). Anyport model has been supported during the past half-century of theoretical and empirical challenge in the field of port research. It provided a main criteria to compare the development of actual ports (Bird 1963). Port-City development analyzes the spatial interaction of a port and its surrounding urban area (Abdullah et al. 2012). Hoyle (2000), in his port-city evolution model, adopts a six-stage chronological approach to explain the port-city interrelationship. The ports in this study are the four major ports that deal with shipping containers in south korea, which are located in the following cities: busan, incheon, gwangyang, and pyeongtaek. The data in this study ranges from 1997 to 2013. The methods used to obtain this data include gathering relevant business documentation, interviewing employees or subject matter experts, and statistical analysis. The results and analysis of this study are as follows. A panel regression was conducted on the four primary ports that deal with shipping containers in south korea, which are Busan, Incheon, Gwangyang, and Pyeongtaek. The port variables examined include the number of cargo traffic including export and import, the number of vessel traffic such as arrival and departure of each port, and berth length which is a measure of the port's overall construction. The variable used to determine city growth was the amount of local taxes collected. The results of the panel regression revealed that all three variables had an effect on taxes. Increases in container cargo and vessel traffic corresponded to increases in taxes collected for nearby cities, which indicates growth in those cities. However, an increase in berth length had a negative effect on taxes collected, which indicates a negative overall effect on city growth.